Peter Passmore

8.4k total citations
28 papers, 282 citations indexed

About

Peter Passmore is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Peter Passmore has authored 28 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Cognitive Neuroscience and 5 papers in Media Technology. Recurrent topics in Peter Passmore's work include Visual perception and processing mechanisms (4 papers), Electrical and Bioimpedance Tomography (4 papers) and Virtual Reality Applications and Impacts (4 papers). Peter Passmore is often cited by papers focused on Visual perception and processing mechanisms (4 papers), Electrical and Bioimpedance Tomography (4 papers) and Virtual Reality Applications and Impacts (4 papers). Peter Passmore collaborates with scholars based in United Kingdom, Ireland and Russia. Peter Passmore's co-authors include Alan Johnston, Christian Huyck, Maxine Glancy, Andrew Wood, Bob Fields, D. G. Shaposhnikov, Ara Darzi, Xiaohong Gao, L. N. Podladchikova and Craig Anslow and has published in prestigious journals such as Vision Research, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Diabetic Medicine.

In The Last Decade

Peter Passmore

25 papers receiving 261 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Passmore United Kingdom 9 141 97 71 36 23 28 282
Masataka Sawayama Japan 9 148 1.0× 80 0.8× 32 0.5× 46 1.3× 20 0.9× 28 246
Marc Winterbottom United States 9 162 1.1× 55 0.6× 131 1.8× 128 3.6× 59 2.6× 42 358
Vivian C. Paulun Germany 12 284 2.0× 64 0.7× 53 0.7× 51 1.4× 7 0.3× 23 339
Wookho Son South Korea 10 64 0.5× 105 1.1× 166 2.3× 17 0.5× 79 3.4× 38 317
Tadamasa Sawada Russia 11 278 2.0× 149 1.5× 13 0.2× 54 1.5× 17 0.7× 44 391
Anshul Jain United States 11 124 0.9× 105 1.1× 15 0.2× 39 1.1× 16 0.7× 28 335
Rongkai Shi China 11 109 0.8× 139 1.4× 289 4.1× 55 1.5× 22 1.0× 28 398
Carlos Aliaga Spain 8 71 0.5× 126 1.3× 57 0.8× 52 1.4× 36 1.6× 19 309
Thomas Bashford‐Rogers United Kingdom 11 33 0.2× 206 2.1× 34 0.5× 22 0.6× 34 1.5× 47 318
Jeffrey B. Mulligan United States 14 225 1.6× 144 1.5× 45 0.6× 96 2.7× 29 1.3× 44 488

Countries citing papers authored by Peter Passmore

Since Specialization
Citations

This map shows the geographic impact of Peter Passmore's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Passmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Passmore more than expected).

Fields of papers citing papers by Peter Passmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Passmore. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Passmore. The network helps show where Peter Passmore may publish in the future.

Co-authorship network of co-authors of Peter Passmore

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Passmore. A scholar is included among the top collaborators of Peter Passmore based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Passmore. Peter Passmore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Winning, Lewis, Claire T. McEvoy, Gareth J. McKay, et al.. (2025). Tooth loss, diet quality, and cognitive decline: A 15-year longitudinal study. The journal of nutrition health & aging. 29(9). 100620–100620.
2.
Wong, B. L. William, et al.. (2017). How Analysts Think: How Do Criminal Intelligence Analysts Recognise and Manage Significant Information?. Middlesex University Research Repository (Middlesex University Of London). 47–53. 3 indexed citations
3.
Glancy, Maxine, et al.. (2017). User Experience of Panoramic Video in CAVE-like and Head Mounted Display Viewing Conditions. Middlesex University Research Repository (Middlesex University Of London). 65–75. 18 indexed citations
4.
Anslow, Craig, et al.. (2016). Understanding 3D Mid-Air Hand Gestures with Interactive Surfaces and Displays: A Systematic Literature Review. Electronic workshops in computing. 25 indexed citations
5.
Passmore, Peter, et al.. (2016). Effects of Viewing Condition on User Experience of Panoramic Video. Middlesex University Research Repository (Middlesex University Of London). 21 indexed citations
6.
Attfield, Simon, et al.. (2016). How Analysts Think: Think-steps as a Tool for Structuring Sensemaking in Criminal Intelligence Analysis. Middlesex University Research Repository (Middlesex University Of London). 2005. 68–75. 4 indexed citations
7.
Passmore, Peter, et al.. (2016). Virtual Reality 3rd person camera behavior modes. Middlesex University Research Repository (Middlesex University Of London). 1 indexed citations
8.
Passmore, Peter, et al.. (2015). Supporting the Externalisation of Thinking in Criminal Intelligence Analysis. Middlesex University Research Repository (Middlesex University Of London). 152. 16–23. 1 indexed citations
9.
Huyck, Christian & Peter Passmore. (2013). A review of cell assemblies. Biological Cybernetics. 107(3). 263–288. 37 indexed citations
10.
Huyck, Christian, et al.. (2011). CABot3: A Simulated Neural Games Agent.. 8–13. 2 indexed citations
11.
Passmore, Peter & Christian Huyck. (2008). Models of cell assembly decay. Middlesex University Research Repository (Middlesex University Of London). 106. 1–6. 3 indexed citations
12.
Foreman, Nigel, et al.. (2008). Invariance of visual perception. Middlesex University Research Repository (Middlesex University Of London). 1(1). 7–33. 2 indexed citations
13.
Gao, Xiaohong, et al.. (2008). Colour Vision Model-Based Approach for Segmentation of Traffic Signs. EURASIP Journal on Image and Video Processing. 2008. 1–7. 26 indexed citations
14.
Zhang, Yan, Peter Passmore, Rebecca Yerworth, & Richard Bayford. (2006). Statistical Analysis for Brain EIT Images Using SPM. ResearchOnline (Glasgow Caledonian University). 35. 60–67. 4 indexed citations
15.
Zhang, Yan, Peter Passmore, & Richard Bayford. (2005). Visualization and Post-processing of 5D Brain Images. PubMed. 2005. 1083–1086. 4 indexed citations
16.
Passmore, Peter, et al.. (2002). Effects of viewing and orientation on path following in a medical teleoperation environment. 209–215. 18 indexed citations
17.
Passmore, Peter & Alan Johnston. (1995). Human discrimination of surface slant in fractal and related textured images. Spatial Vision. 9(1). 151–161. 6 indexed citations
18.
Johnston, Alan & Peter Passmore. (1994). Shape from Shading. II. Geodesic Bisection and Alignment. Perception. 23(2). 191–200. 13 indexed citations
19.
Johnston, Alan & Peter Passmore. (1994). Independent encoding of surface orientation an surface curvature. Vision Research. 34(22). 3005–3012. 31 indexed citations
20.
Passmore, Peter. (1982). Reflexions on energy balance. Proceedings of The Nutrition Society. 41(2). 161–165. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026